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The article examines why engineers favor reuse, outlines the logical arguments that link reuse to productivity, exposes common misconceptions and hidden costs, and proposes autonomy and consistency metrics as practical criteria for deciding when and how to abstract shared components in software systems.
The article examines the common belief that reusing code and components boosts productivity, explains the flawed reasoning behind it, highlights the hidden costs of excessive abstraction, and proposes autonomy and consistency metrics as guidelines for sensible system design.
The article examines the common belief that reuse improves productivity, explains the logical fallacies behind it, highlights the hidden costs of over‑generalization, and proposes autonomy and consistency metrics as practical guidelines for evaluating when reuse truly adds value.
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